HomeEconomyAI for product data processing

AI for product data processing

[CONTENU PARTENAIRE] ConsoTrust offers solutions for manufacturers and distributors to automate product data acquisition, reliability, and enrichment. Julien Doyen, CEO and founder, talks to us about these issues.

What prompted you to launch ConsoTrust?

In 2015, we created Allergobox, a consumer app. At first we are computer scientists, but above all parents of children with severe allergies. In wanting to enable consumers to find allergy-friendly products, we realized there was a significant issue with the reliability of product information. We have developed reliability algorithms and manufacturers and distributors have shown interest in recovering these corrections. This is how ConsoTrust was born at the end of 2019. We target manufacturers and distributors in the food industry, but soon also other fields, such as hygiene and beauty.

How do your solutions work?

ConsoTrust is a SaaS platform that leverages artificial intelligence. Our first module, ConsoTrust Pics Services, allows you to automatically extract all information from images or PDF documents, to avoid entries that are a source of error and increase productivity. The second module, ConsoTrust Data Services, makes regulatory information more reliable and enriches data with multiple attributes, such as nutri-scores, environmental scores, notable claims or substances. Finally, ConsoTrust Business Services allows you to compare products and perform simulations to improve the positioning of your products in their category.

What are the new expectations in terms of product data?

A few years ago, to describe a food product, the information required was mainly normative. Since then, new concerns around nutrition have emerged, symbolized by the Nutri-Score, for example. To this are now added issues such as the environmental impact of the products or the origin of their ingredients. Since the beginning of 2023, the AGEC law has also given rise to many use cases around packaging information. Finally, retailers are also increasingly requesting more consumer data to improve the customer experience in e-commerce. All of this adds up to more data to generate and manage, and the trend will continue.

What impact does digital technology have on these issues?

Uses around e-commerce have spread since lockdown, and consumer apps like Yuka have an impact on consumer decisions. Therefore, it is necessary to be able to create the digital twin of the product, manipulating much more information than on the packaging. Currently, this is often based on previous manual operations, sources of errors frequently found on e-commerce sites or consumer applications.

These errors present a regulatory risk, because certain information is mandatory, a risk to the health of the consumer, potentially vital in the event of an error in the list of allergens in particular, but also an image and business risk, because if the data is false, the products will be listed incorrectly, and then this can penalize the commercial relationship with the distributors, who establish controls.

This content was produced with SCRIBEO. The BFMBUSINESS editorial team was not involved in the production of this content.

Author: In collaboration with SCRIBEO
Source: BFM TV

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